Big Data Technologies and Applications

26.09.2016

Englisch

9783319445489

Springer International Publishing

Nein

Borko Furht, Flavio Villanustre

400

1

Gebundene Ausgabe

Dr. Borko Furht is a professor in the Department of Electrical & Computer Engineering and Computer Science at Florida Atlantic University (FAU) in Boca Raton, Florida. He is also Director of the NSF Industry/University Cooperative Research Center on Advanced Knowledge Enablement. Before joining FAU, he was a vice president of research and a senior director of development at Modcomp (Ft. Lauderdale), a computer company of Daimler Benz, Germany, a professor at University of Miami in Coral Gables, Florida, and a senior researcher in the Institute Boris Kidric-Vinca, Yugoslavia. Professor Furht received the Ph.D. degree in electrical and computer engineering from the University of Belgrade. His current research is in multimedia systems, multimedia big data and its applications, 3D video and image systems, wireless multimedia, and Internet and cloud computing. He is presently Principal Investigator and Co-PI of several projects sponsored by NSF and various high-tech companies. He is the author of numerous books and articles in the areas of multimedia, data-intensive applications, computer architecture, real-time computing, and operating systems. He is a founder and editor-in-chief of two journals: Journal of Big Data and Journal of Multimedia Tools and Applications. He has received several technical and publishing awards, and has consulted for many high-tech companies including IBM, Hewlett-Packard, Adobe, Xerox, General Electric, JPL, NASA, Honeywell, and RCA. He has also served as a consultant to various colleges and universities. He has given many invited talks, keynote lectures, seminars, and tutorials. He served on the Board of Directors of several high-tech companies.

Big data technologies, Big data applications, HPCC systems, Big data analytics, Big data components, Visualization of big data, Models of big data, Social network analytics, ECL language, Big data software, Machine learning techniques, Deep learning techniques, Data security and privacy, Data intensive supercomputing

UKN - Netzwerk-Hardware UMZ - Software Engineering UYA - Theoretische Informatik

235 mm

15.5 cm